Strong working experience in python including Pandas, numpy and FastAPI / Flask frameworks.
Good knowledge of cloud services, preferably AWS.
Strong Database knowledge and be able to write and comprehend SQL queries.
Should have Graphql knowledge
Experience building API, Calculation Engines, batch, and real time modules supporting web applications used by Trading or Portfolio management teams
Experience building real time applications for Structured, Rates, Corporate or Municipal Fixed Income Desk Experience with Python programming, AWS Stack - EKS, API Gateway, Lamda, Redis. Databases Postgress, S3 technologies, Integrating with market data providers like Bloomberg, TradeWeb etc.
Should have worked on any ETL pipeline
10-12 years of Experience in Asset management or financial services industry
Strong communication skills, capable to coordinate with various stakeholders
Nice to have :
Knowledge of JupyterLab (Good to have)
Knowledge of Apache Airflow or any Workflow management tool (Good to have)
Knowledge of DevOps is plus and good to have.
Strong learning mindset to learn and perform POC on new advanced technologies and services related to Data Science platforms..